Multi-Agent Workflow Runtime: How to Build Agent Teams That Don’t Turn Into AI Meetings

A useful multi-agent system looks less like a meeting and like a runtime: roles, state, routing, gates, and telemetry. Multi-agent AI sounds powerful until the first becomes five chatbots politely forwarding work to each other. The researcher asks a planner to clarify. The planner asks a reviewer to validate. Ten turns later, the system has spent money, produced logs, and still has no reliable output. The problem is rarely that the models are weak. The problem is that the team built a conversation instead of a runtime. In 2026, developers have better tools than a pile of prompts.